Gastric­type endocervical adenocarcinoma: A report of two cases.

Gastric-type endocervical adenocarcinoma (GEA) is an uncommon and highly aggressive malignancy, characterized by non-specific clinical manifestations. The limited number of documented cases poses significant challenges in achieving an early preoperative diagnosis. In the present study, two cases of GEA in female patients, aged 46 and 39 years, who presented with the chief complaint of profuse vaginal discharge are described. Both patients underwent a total hysterectomy and bilateral adnexectomy, leading to the definitive diagnosis of GEA through routine pathological and immunohistochemical examination. Following surgery, case one received conventional chemotherapy with paclitaxel and carboplatin, demonstrating no evidence of recurrence during a follow-up period of >2 years. At present, patient B has been followed up for >1 year without any signs of disease recurrence. Given the rarity and diagnostic challenges associated with GEA, further investigations into its pathogenesis and diagnostic modalities are warranted. Additionally, due to its poor prognosis, close surveillance is essential for monitoring potential recurrences. Reporting such cases is crucial in aiding clinicians to make accurate diagnoses and treatment decisions.

Predicting papillary thyroid carcinoma cervical lymph node metastases: an algorithm using the American College of Radiology Thyroid Imaging, Reporting and Data System.

BACKGROUND: It is important to predict lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) preoperatively; however, the relationship between the American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) score and cervical LNM remains unclear. PURPOSE: To evaluate the association between the ACR TI-RADS score and cervical LNM in patients with PTC. MATERIAL AND METHODS: This retrospective study consisted of 474 patients with 548 PTCs. Cervical LNM including central LNM (CLNM) and lateral LNM (LLNM) were confirmed by pathology. Univariate and multivariate analyses were performed to investigate the risk factors of CLNM and LLNM. RESULTS: Multivariate logistic regression analyses indicated that younger age and multifocality were risk factors for CLNM in PTCs with TR5. In addition, younger age, larger tumor size, and Hashimoto's thyroiditis (HT) were risk factors for LLNM in PTCs ≥ 10 mm with TR5. In PTCs with TR4, ACR TI-RADS scores 5-6 conferred risks for LNM. In PTCs ≥ 10 mm with TR5, ACR TI-RADS scores ≥9 were risk factors for LLNM. CONCLUSION: A higher ACR TI-RADS score is a predictor for cervical LNM in PTCs with TR4 and PTCs ≥ 10 mm with TR5.

Case report: Ultrasound-guided intrauterine biopsy and RF ablation therapy for fetal posterior neck solid tumor: first successful report.

Large fetal head and neck tumors are being increasingly identified during prenatal examination and tend to have a poor prognosis. Nevertheless, appropriate intrauterine interventions at suitable periods can improve pregnancy outcome. Ultrasound-guided puncture biopsy of the solid fetal head and neck mass and radiofrequency ablation of a portion of the tissue can clarify the tumor pathology and reduce the tumor size, respectively. These treatment methods are reproducible and associated with reduced trauma and complications.

Identification of a Nomogram with an Autophagy-Related Risk Signature for Survival Prediction in Patients with Glioma.

BACKGROUND: Glioma is a common type of tumor in the central nervous system characterized by high morbidity and mortality. Autophagy plays vital roles in the development and progression of glioma, and is involved in both normal physiological and various pathophysiological progresses. PATIENTS AND METHODS: A total of 531 autophagy-related genes (ARGs) were obtained and 1738 glioma patients were collected from three public databases. We performed least absolute shrinkage and selection operator regression to identify the optimal prognosis-related genes and constructed an autophagy-related risk signature. The performance of the signature was validated by receiver operating characteristic analysis, survival analysis, clinic correlation analysis, and Cox regression. A nomogram model was established by using multivariate Cox regression analysis. Schoenfeld's global and individual test were used to estimate time-varying covariance for the assumption of the Cox proportional hazard regression analysis. The R programming language was used as the main data analysis and visualizing tool. RESULTS: An overall survival-related risk signature consisting of 15 ARGs was constructed and significantly stratified glioma patients into high- and low-risk groups (P < 0.0001). The area under the ROC curve of 1-, 3-, 5-year survival was 0.890, 0.923, and 0.889, respectively. Univariate and multivariate Cox analyses indicated that the risk signature was a satisfactory independent prognostic factor. Moreover, a nomogram model integrating risk signature with clinical information for predicting survival rates of patients with glioma was constructed (C-index=0.861±0.024). CONCLUSION: This study constructed a novel and reliable ARG-related risk signature, which was verified as a satisfactory prognostic marker. The nomogram model could provide a reference for individually predicting the prognosis for each patient with glioma and promoting the selection of optimal treatment.